Rail (real) safety issues: predictive maintenance for Singapore railway
This Final Year Project (FYP) aims to evaluate the possibility of performing fault prediction in Singapore’s rail network from available data. The quest to predict railway faults in Singapore is still underway, spearheaded by the Rail Enterprise Asset Management System (REAMS) project jointly led by...
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2022
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sg-ntu-dr.10356-1575832023-07-07T19:31:08Z Rail (real) safety issues: predictive maintenance for Singapore railway Khoo, Alyna Yi Jie Ling Keck Voon School of Electrical and Electronic Engineering EKVLING@ntu.edu.sg Engineering::Electrical and electronic engineering This Final Year Project (FYP) aims to evaluate the possibility of performing fault prediction in Singapore’s rail network from available data. The quest to predict railway faults in Singapore is still underway, spearheaded by the Rail Enterprise Asset Management System (REAMS) project jointly led by SIEMENS and ST Engineering Consortium formed in 2018. This project’s main purpose is to identify useful indicators in existing data that can be used as performance indicators for predictive maintenance. The focus is on the observable trends in the Automatic Train Supervision (ATS) and Corrective Maintenance Data (CMD) records, with findings supported by the F&D Daily Report, Workorder (WO), and Fault & Delay (F&D) data. This report covers the analytic approaches taken and their results to evaluate the possibility of performing predictive maintenance in Singapore’s rail network. It also briefly covers existing shortcomings of the available datasets. As no predictive maintenance has been implemented in Singapore’s rail network, the commencement and submission of this project is done in the hope that the identified shortcomings may be overcome, and featured potential performance indicators can be built upon to establish a foundation for predictive maintenance in Singapore’s rail network. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-21T05:18:22Z 2022-05-21T05:18:22Z 2022 Final Year Project (FYP) Khoo, A. Y. J. (2022). Rail (real) safety issues: predictive maintenance for Singapore railway. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157583 https://hdl.handle.net/10356/157583 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Khoo, Alyna Yi Jie Rail (real) safety issues: predictive maintenance for Singapore railway |
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This Final Year Project (FYP) aims to evaluate the possibility of performing fault prediction in Singapore’s rail network from available data. The quest to predict railway faults in Singapore is still underway, spearheaded by the Rail Enterprise Asset Management System (REAMS) project jointly led by SIEMENS and ST Engineering Consortium formed in 2018.
This project’s main purpose is to identify useful indicators in existing data that can be used as performance indicators for predictive maintenance. The focus is on the observable trends in the Automatic Train Supervision (ATS) and Corrective Maintenance Data (CMD) records, with findings supported by the F&D Daily Report, Workorder (WO), and Fault & Delay (F&D) data.
This report covers the analytic approaches taken and their results to evaluate the possibility of performing predictive maintenance in Singapore’s rail network. It also briefly covers existing shortcomings of the available datasets. As no predictive maintenance has been implemented in Singapore’s rail network, the commencement and submission of this project is done in the hope that the identified shortcomings may be overcome, and featured potential performance indicators can be built upon to establish a foundation for predictive maintenance in Singapore’s rail network. |
author2 |
Ling Keck Voon |
author_facet |
Ling Keck Voon Khoo, Alyna Yi Jie |
format |
Final Year Project |
author |
Khoo, Alyna Yi Jie |
author_sort |
Khoo, Alyna Yi Jie |
title |
Rail (real) safety issues: predictive maintenance for Singapore railway |
title_short |
Rail (real) safety issues: predictive maintenance for Singapore railway |
title_full |
Rail (real) safety issues: predictive maintenance for Singapore railway |
title_fullStr |
Rail (real) safety issues: predictive maintenance for Singapore railway |
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Rail (real) safety issues: predictive maintenance for Singapore railway |
title_sort |
rail (real) safety issues: predictive maintenance for singapore railway |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/157583 |
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